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DOI: 10.1055/s-0041-1736842
Integrated NMR and LC-MS metabolite profiling data for the quality control of table olives
This research was financed by the Emblematic Action "The Olive Roads” (project code: 2018ΣΕ01300000). The authors would also like to thank the project PlantUp (project code: 5002803).Foodomics combine food & nutrition with advanced techniques and bioinformatics in the research for food profiling, authenticity control and biomarker identification. NMR and LC-MS are widely used in the field, individually to the greatest extent.
The aim of the present study was to employ both LC-HRMS & NMR platforms towards the quality control of table olives, exploring cultivar, geographical origin and debittering method. To ensure the integrity of these assessments, steps prior to analysis were identical for both, while acquired data were subjected to statistical analysis in parallel or in an integrated manner through Statistical HeterospectroscopY (SHY).The sensitivity of HRMS led to the identification of almost 10-fold tentative markers compared to NMR [1], yet the superiority of the latter in identification confidence and estimation of concentration levels cannot be overlooked.
The statistical models of the HRMS data showed less dispersion, higher robustness, and improved classification parameters, most probably due to the higher number of detected features. Nevertheless, the similarity in the fluctuation of the concentration levels of tentative markers was evident.
It seems that the two techniques are complementary, while SHY proved to be a valuable aid in the identification of tentative biomarkers.
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Artikel online veröffentlicht:
13. Dezember 2021
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